drawing

Capstone Project - Liberty Mutual Group Fire Peril Loss Cost

Author: Alexander Donders


1. Objectives & Intention

In this capstone project, we are going to look at a challenge from the insurance sector that was hosted on Kaggle.

The training set bears several interesting aspects that distinguish this challenge from others. Firstly, the highly imbalanced dataset with over 300 variables makes the use of regression algorithms particularly difficult. Secondly, the meaning of the variables in the dataset is completely unknown. While the first aspect introduces the need for techniques that manage the extreme imbalance in the dataset, the second aspect renders any particular business knowledge in the insurance industry useless as no meaning whatsovever can be obtained from the standardised and anonmymised variables.

However, the quality of the dataset is very high. This allows for less cleaning and preprocessing and more time to explore new techniques to tackle the actual challenge of building a robust model to predict the loss-to-insured value ratio.

Therefore, the question that arises is stated as follows:

How can a valid prediction model be built that manages extremely imbalanced data and builds upon features that are unknown to the machine learning engineer or data scientist?

The following figure summarises the problem as well as the intention and objective:

drawing

In [1]:
#init libraries
import warnings;
warnings.filterwarnings('ignore')

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

import seaborn as sns
from sklearn.externals import joblib
import zipfile
import os

from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn.preprocessing import scale
from sklearn.decomposition import PCA
from sklearn.externals import joblib
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.decomposition import PCA
from sklearn.model_selection import GridSearchCV, StratifiedKFold, ParameterGrid
from sklearn.feature_selection import SelectKBest, f_classif, f_regression
from sklearn.svm import LinearSVC, LinearSVR
from sklearn.linear_model import LogisticRegression, RandomizedLasso, LinearRegression, Ridge, Lasso, ElasticNet
from sklearn.ensemble import GradientBoostingRegressor, ExtraTreesClassifier, RandomForestClassifier, RandomForestRegressor

from xgboost import XGBRegressor
from scipy import stats
from scipy import sparse

%matplotlib inline
#set notebook display options to display the entire printed dataset (if needed)
pd.set_option('display.max_columns', None)  # or 1000
pd.set_option('display.max_rows', None)     # or 1000
pd.set_option('display.max_colwidth', -1)   # or 199

2. Importing the Data

First, we import the data. Note that we know from the Data Description-page on the Kaggle-website, that missing values are denoted using the values "Z" and "NA". Also, during the course of the project, values of type np.nan were encountered that led to unexpected behaviour of certain functions.

In [2]:
#prepare data frames
zf = zipfile.ZipFile('loss-cost.zip') 
df = pd.read_csv(zf.open('train.csv'), na_values=['NA', 'Z', 'nan', np.nan])
df_test = pd.read_csv(zf.open('test.csv'), na_values=['NA', 'Z', 'nan', np.nan])
df_test_ex = pd.read_csv(zf.open('sampleSubmission.csv'))
In [3]:
def get_df_overview(df, sort):
    c = pd.DataFrame({'Count': df.count()})
    dt = pd.DataFrame({'dType': df.dtypes})
    n = pd.DataFrame({'nulls': df.isnull().sum()})
    npct = pd.DataFrame({'nulls pct': df.isnull().sum() / len(df)})
    nn = pd.DataFrame({'not nulls': df.notnull().sum()})

    cols = [df[col].duplicated().sum() for col in df.columns]
    d = pd.DataFrame({'':pd.Series(c.index),'duplicates': cols}).set_index('')
    d.duplicates = d.duplicates - n.nulls + 1
    dpct = pd.DataFrame({'duplicates pct': (d.duplicates) / len(df)})
    
    cols = []
    for col in df.columns:
        if df[col].notnull().sum() > 0:
            cols.append(df[df[col].notnull()].iloc[0,df.columns.get_loc(col)])
        else:
            cols.append("NaN")
    
    f = pd.DataFrame({'': pd.Series(c.index), 'first value': pd.Series(cols)}).set_index('')

    info = c.join(dt).join(n).join(npct).join(nn).join(d).join(dpct).join(f)
    info.sort_values([sort], ascending=[False], inplace=True)
    return info
In [4]:
df.head()
Out[4]:
id target var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 var11 var12 var13 var14 var15 var16 var17 dummy crimeVar1 crimeVar2 crimeVar3 crimeVar4 crimeVar5 crimeVar6 crimeVar7 crimeVar8 crimeVar9 geodemVar1 geodemVar2 geodemVar3 geodemVar4 geodemVar5 geodemVar6 geodemVar7 geodemVar8 geodemVar9 geodemVar10 geodemVar11 geodemVar12 geodemVar13 geodemVar14 geodemVar15 geodemVar16 geodemVar17 geodemVar18 geodemVar19 geodemVar20 geodemVar21 geodemVar22 geodemVar23 geodemVar24 geodemVar25 geodemVar26 geodemVar27 geodemVar28 geodemVar29 geodemVar30 geodemVar31 geodemVar32 geodemVar33 geodemVar34 geodemVar35 geodemVar36 geodemVar37 weatherVar1 weatherVar2 weatherVar3 weatherVar4 weatherVar5 weatherVar6 weatherVar7 weatherVar8 weatherVar9 weatherVar10 weatherVar11 weatherVar12 weatherVar13 weatherVar14 weatherVar15 weatherVar16 weatherVar17 weatherVar18 weatherVar19 weatherVar20 weatherVar21 weatherVar22 weatherVar23 weatherVar24 weatherVar25 weatherVar26 weatherVar27 weatherVar28 weatherVar29 weatherVar30 weatherVar31 weatherVar32 weatherVar33 weatherVar34 weatherVar35 weatherVar36 weatherVar37 weatherVar38 weatherVar39 weatherVar40 weatherVar41 weatherVar42 weatherVar43 weatherVar44 weatherVar45 weatherVar46 weatherVar47 weatherVar48 weatherVar49 weatherVar50 weatherVar51 weatherVar52 weatherVar53 weatherVar54 weatherVar55 weatherVar56 weatherVar57 weatherVar58 weatherVar59 weatherVar60 weatherVar61 weatherVar62 weatherVar63 weatherVar64 weatherVar65 weatherVar66 weatherVar67 weatherVar68 weatherVar69 weatherVar70 weatherVar71 weatherVar72 weatherVar73 weatherVar74 weatherVar75 weatherVar76 weatherVar77 weatherVar78 weatherVar79 weatherVar80 weatherVar81 weatherVar82 weatherVar83 weatherVar84 weatherVar85 weatherVar86 weatherVar87 weatherVar88 weatherVar89 weatherVar90 weatherVar91 weatherVar92 weatherVar93 weatherVar94 weatherVar95 weatherVar96 weatherVar97 weatherVar98 weatherVar99 weatherVar100 weatherVar101 weatherVar102 weatherVar103 weatherVar104 weatherVar105 weatherVar106 weatherVar107 weatherVar108 weatherVar109 weatherVar110 weatherVar111 weatherVar112 weatherVar113 weatherVar114 weatherVar115 weatherVar116 weatherVar117 weatherVar118 weatherVar119 weatherVar120 weatherVar121 weatherVar122 weatherVar123 weatherVar124 weatherVar125 weatherVar126 weatherVar127 weatherVar128 weatherVar129 weatherVar130 weatherVar131 weatherVar132 weatherVar133 weatherVar134 weatherVar135 weatherVar136 weatherVar137 weatherVar138 weatherVar139 weatherVar140 weatherVar141 weatherVar142 weatherVar143 weatherVar144 weatherVar145 weatherVar146 weatherVar147 weatherVar148 weatherVar149 weatherVar150 weatherVar151 weatherVar152 weatherVar153 weatherVar154 weatherVar155 weatherVar156 weatherVar157 weatherVar158 weatherVar159 weatherVar160 weatherVar161 weatherVar162 weatherVar163 weatherVar164 weatherVar165 weatherVar166 weatherVar167 weatherVar168 weatherVar169 weatherVar170 weatherVar171 weatherVar172 weatherVar173 weatherVar174 weatherVar175 weatherVar176 weatherVar177 weatherVar178 weatherVar179 weatherVar180 weatherVar181 weatherVar182 weatherVar183 weatherVar184 weatherVar185 weatherVar186 weatherVar187 weatherVar188 weatherVar189 weatherVar190 weatherVar191 weatherVar192 weatherVar193 weatherVar194 weatherVar195 weatherVar196 weatherVar197 weatherVar198 weatherVar199 weatherVar200 weatherVar201 weatherVar202 weatherVar203 weatherVar204 weatherVar205 weatherVar206 weatherVar207 weatherVar208 weatherVar209 weatherVar210 weatherVar211 weatherVar212 weatherVar213 weatherVar214 weatherVar215 weatherVar216 weatherVar217 weatherVar218 weatherVar219 weatherVar220 weatherVar221 weatherVar222 weatherVar223 weatherVar224 weatherVar225 weatherVar226 weatherVar227 weatherVar228 weatherVar229 weatherVar230 weatherVar231 weatherVar232 weatherVar233 weatherVar234 weatherVar235 weatherVar236
0 1 0.0 NaN NaN NaN N1 NaN NaN 3.0 1.0 A 3.898949 705.907218 NaN 0.000000 0.0 29.0 NaN 84.337349 A 0.868651 0.625186 0.685535 0.698889 1.322650 1.036953 0.739831 1.233004 0.985852 2.907669 1.190971 1.085760 1.214415 4.186556 2.711295 0.902699 2.682806 1.036433 2.624847 2.632027 0.530775 1.934022 0.702882 1.957826 0.977705 2.430076 0.642147 1.351742 2.838848 2.869259 1.152205 1.261544 1.468264 1.769648 2.646861 3.034098 2.868507 1.333730 0.780628 0.713642 2.417470 3.029365 1.091405 2.985905 4.261874 0.959292 0.182784 0.0 1.126181 0.001438 0.291717 0.005983 1.103744 1.444520 0.000000 1.016891 0.147343 1.967861 0.022343 1.111517 1.150924 1.011941 0.002227 0.282293 0.006597 0.381844 0.674719 0.125078 0.148698 0.161928 0.002323 0.503055 1.011204 0.144197 1.228219 1.004391 0.009624 1.104245 0.852247 0.347657 0.811226 0.679922 0.002481 0.169487 0.0 1.090833 0.0 0.253126 0.0 1.135944 0.817920 0.0 1.073134 0.178608 2.212616 0.0 1.061358 1.137966 0.905694 0.0 0.253435 0.0 0.407403 0.611287 0.614592 0.152828 0.071092 0.002797 0.735235 1.012214 0.147134 5.586985 4.683603 0.058903 1.093778 0.949523 0.348595 0.934886 0.665584 0.002785 0.153111 1.579249 0.007837 0.724788 0.109090 1.524264 3.870283 0.0 0.926208 0.168710 1.592272 0.126252 1.528397 1.677643 0.892934 0.009734 0.723420 0.052464 0.771335 0.789749 0.000000 0.754240 0.136047 0.000000 0.000000 1.012377 0.785233 0.0 0.0 0.008502 1.503067 0.636448 0.468449 1.517885 0.553574 0.000596 0.000000 0.959892 0.0 0.015623 0.0 0.945053 0.000000 0.000000 0.986450 0.000000 1.804190 0.959318 0.967749 0.902594 0.0 0.015616 0.071522 0.452953 0.0 0.062356 0.000000 0.000000 0.235065 1.009435 0.061089 0.000000 0.000000 19.504291 0.950587 0.956064 0.236168 0.475049 0.855036 0.235344 0.0 1.151152 0.0 0.275009 0.0 1.107113 4.767955 0.0 1.174688 0.246032 2.696544 0.0 1.130599 1.184083 1.209877 0.0 0.256026 0.0 0.390436 0.757689 0.0 0.390010 0.0 0.000000 0.000000 1.008965 0.387164 17.763228 16.580859 0.050419 1.117644 0.805361 0.311635 0.945178 0.643006 0.00000 0.933556 1.513327 0.508434 0.987788 0.864850 0.975799 1.032288 1.014591 0.000000 1.158028 1.275393 0.911490 0.987212 1.193584 0.929662 0.959245 1.433812 0.884953 0.050891 0.087160 0.0 0.0 0.000000 0.834392 0.037845 0.000000 0.000000 0.000000 1.534205 0.0 0.000000 0.101716 0.359774 0.947338 0.573140 0.340894 1.426992 0.000000 0.000000 0.0 0.805522 0.000000 0.000000 0.0 1.380741 1.488921 0.170351 0.0 0.00000 0.000000 1.117353 1.215303 0.112556 2.355737 0.404655 0.138667
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In [5]:
df.shape
Out[5]:
(452061, 302)
In [6]:
df_test.shape
Out[6]:
(450728, 301)
In [7]:
info = get_df_overview(df, 'nulls pct')
info
Out[7]:
Count dType nulls nulls pct not nulls duplicates duplicates pct first value
var2 4440 object 447621 0.990178 4440 4437 0.009815 A
var6 26850 object 425211 0.940605 26850 26847 0.059388 B
var5 36145 object 415916 0.920044 36145 36139 0.079943 B
var3 57027 float64 395034 0.873851 57027 57021 0.126136 4
var16 90368 float64 361693 0.800098 90368 90268 0.199681 100
var12 97019 float64 355042 0.785385 97019 76973 0.170271 2.71985
var1 114096 float64 337965 0.747609 114096 114091 0.252380 3
var14 161595 float64 290466 0.642537 161595 161531 0.357321 0
var9 328876 object 123185 0.272496 328876 328874 0.727499 A
crimeVar7 334698 float64 117363 0.259618 334698 334379 0.739677 0.739831
crimeVar2 337508 float64 114553 0.253402 337508 337187 0.745888 0.625186
crimeVar4 339263 float64 112798 0.249519 339263 338945 0.749777 0.698889
crimeVar5 341406 float64 110655 0.244779 341406 341094 0.754531 1.32265
crimeVar6 342073 float64 109988 0.243303 342073 341963 0.756453 1.03695
crimeVar1 342073 float64 109988 0.243303 342073 341762 0.756009 0.868651
crimeVar9 342073 float64 109988 0.243303 342073 341754 0.755991 0.985852
crimeVar8 342073 float64 109988 0.243303 342073 341773 0.756033 1.233
crimeVar3 342073 float64 109988 0.243303 342073 341838 0.756177 0.685535
var15 353205 float64 98856 0.218678 353205 352971 0.780804 29
weatherVar212 419688 float64 32373 0.071612 419688 419250 0.927419 0.101716
weatherVar218 419688 float64 32373 0.071612 419688 419629 0.928257 0
weatherVar211 419688 float64 32373 0.071612 419688 419558 0.928100 0
weatherVar214 419688 float64 32373 0.071612 419688 418013 0.924683 0.947338
weatherVar213 419688 float64 32373 0.071612 419688 417891 0.924413 0.359774
weatherVar209 419688 float64 32373 0.071612 419688 419631 0.928262 1.53421
weatherVar210 419688 float64 32373 0.071612 419688 419589 0.928169 0
weatherVar217 419688 float64 32373 0.071612 419688 417423 0.923378 1.42699
weatherVar220 419688 float64 32373 0.071612 419688 419663 0.928333 0
weatherVar219 419688 float64 32373 0.071612 419688 419652 0.928308 0
weatherVar216 419688 float64 32373 0.071612 419688 418266 0.925242 0.340894
weatherVar221 419688 float64 32373 0.071612 419688 419599 0.928191 0.805522
weatherVar222 419688 float64 32373 0.071612 419688 419674 0.928357 0
weatherVar223 419688 float64 32373 0.071612 419688 419681 0.928372 0
weatherVar224 419688 float64 32373 0.071612 419688 419683 0.928377 0
weatherVar225 419688 float64 32373 0.071612 419688 419660 0.928326 1.38074
weatherVar226 419688 float64 32373 0.071612 419688 418198 0.925092 1.48892
weatherVar215 419688 float64 32373 0.071612 419688 419545 0.928072 0.57314
var4 431759 object 20302 0.044910 431759 431717 0.954997 N1
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weatherVar208 432675 float64 19386 0.042884 432675 432100 0.955844 0
weatherVar207 432675 float64 19386 0.042884 432675 432610 0.956973 0
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weatherVar203 432675 float64 19386 0.042884 432675 432274 0.956229 0
weatherVar202 432675 float64 19386 0.042884 432675 432610 0.956973 0
weatherVar201 432675 float64 19386 0.042884 432675 432543 0.956824 0
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weatherVar199 432675 float64 19386 0.042884 432675 432463 0.956647 0.0508909
weatherVar229 432706 float64 19355 0.042815 432706 432592 0.956933 0
weatherVar227 432706 float64 19355 0.042815 432706 432510 0.956751 0.170351
weatherVar228 432706 float64 19355 0.042815 432706 432625 0.957006 0
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weatherVar232 432706 float64 19355 0.042815 432706 431086 0.953601 1.2153
weatherVar231 432706 float64 19355 0.042815 432706 432094 0.955831 1.11735
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weatherVar233 432706 float64 19355 0.042815 432706 430190 0.951619 0.112556
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weatherVar187 439962 float64 12099 0.026764 439962 439717 0.972694 1.03229
weatherVar188 439962 float64 12099 0.026764 439962 435234 0.962777 1.01459
weatherVar189 439962 float64 12099 0.026764 439962 434002 0.960052 0
weatherVar190 439962 float64 12099 0.026764 439962 436565 0.965721 1.15803
weatherVar191 439962 float64 12099 0.026764 439962 435278 0.962874 1.27539
weatherVar194 439962 float64 12099 0.026764 439962 435200 0.962702 1.19358
weatherVar193 439962 float64 12099 0.026764 439962 436563 0.965717 0.987212
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weatherVar195 439962 float64 12099 0.026764 439962 437450 0.967679 0.929662
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weatherVar197 439962 float64 12099 0.026764 439962 435288 0.962897 1.43381
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var8 444606 float64 7455 0.016491 444606 444600 0.983496 1
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weatherVar41 449481 float64 2580 0.005707 449481 440687 0.974840 0
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weatherVar90 449741 float64 2320 0.005132 449741 439396 0.971984 0.00973423
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weatherVar160 449776 float64 2285 0.005055 449776 443301 0.980622 0
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weatherVar113 449854 float64 2207 0.004882 449854 448999 0.993227 0
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weatherVar17 449989 float64 2072 0.004583 449989 438802 0.970670 0.00222676
weatherVar4 449989 float64 2072 0.004583 449989 436133 0.964766 0.00143787
geodemVar25 450065 float64 1996 0.004415 450065 449508 0.994353 1.76965
geodemVar24 450065 float64 1996 0.004415 450065 450062 0.995578 1.46826
geodemVar35 450065 float64 1996 0.004415 450065 447832 0.990645 2.9859
geodemVar27 450065 float64 1996 0.004415 450065 448343 0.991775 3.0341
geodemVar20 450065 float64 1996 0.004415 450065 448335 0.991758 2.83885
geodemVar21 450065 float64 1996 0.004415 450065 447889 0.990771 2.86926
geodemVar22 450065 float64 1996 0.004415 450065 447739 0.990439 1.15221
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geodemVar26 450065 float64 1996 0.004415 450065 447510 0.989933 2.64686
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weatherVar133 450201 float64 1860 0.004114 450201 435148 0.962587 0.235065
weatherVar132 450201 float64 1860 0.004114 450201 438722 0.970493 0
weatherVar131 450201 float64 1860 0.004114 450201 441493 0.976623 0
weatherVar130 450201 float64 1860 0.004114 450201 437177 0.967075 0.0623563
weatherVar129 450201 float64 1860 0.004114 450201 448535 0.992200 0
weatherVar127 450201 float64 1860 0.004114 450201 437097 0.966898 0.0715222
weatherVar126 450201 float64 1860 0.004114 450201 436962 0.966600 0.0156157
weatherVar124 450201 float64 1860 0.004114 450201 437194 0.967113 0.902594
weatherVar128 450201 float64 1860 0.004114 450201 436713 0.966049 0.452953
weatherVar122 450201 float64 1860 0.004114 450201 437179 0.967080 0.959318
weatherVar150 450201 float64 1860 0.004114 450201 437182 0.967086 1.10711
weatherVar151 450201 float64 1860 0.004114 450201 446289 0.987232 4.76796
weatherVar180 450201 float64 1860 0.004114 450201 437156 0.967029 0
weatherVar179 450201 float64 1860 0.004114 450201 437248 0.967232 0.643006
weatherVar178 450201 float64 1860 0.004114 450201 433585 0.959129 0.945178
weatherVar177 450201 float64 1860 0.004114 450201 436985 0.966651 0.311635
weatherVar176 450201 float64 1860 0.004114 450201 436912 0.966489 0.805361
weatherVar175 450201 float64 1860 0.004114 450201 437213 0.967155 1.11764
weatherVar174 450201 float64 1860 0.004114 450201 438131 0.969186 0.0504188
weatherVar173 450201 float64 1860 0.004114 450201 449477 0.994284 16.5809
weatherVar172 450201 float64 1860 0.004114 450201 449496 0.994326 17.7632
weatherVar171 450201 float64 1860 0.004114 450201 436438 0.965441 0.387164
weatherVar170 450201 float64 1860 0.004114 450201 437045 0.966783 1.00896
weatherVar169 450201 float64 1860 0.004114 450201 440242 0.973855 0
weatherVar168 450201 float64 1860 0.004114 450201 437139 0.966991 0
weatherVar167 450201 float64 1860 0.004114 450201 444351 0.982945 0
weatherVar166 450201 float64 1860 0.004114 450201 436509 0.965598 0.39001
weatherVar165 450201 float64 1860 0.004114 450201 446892 0.988566 0
weatherVar164 450201 float64 1860 0.004114 450201 436728 0.966082 0.757689
weatherVar163 450201 float64 1860 0.004114 450201 437126 0.966962 0.390436
weatherVar161 450201 float64 1860 0.004114 450201 436950 0.966573 0.256026
weatherVar159 450201 float64 1860 0.004114 450201 437187 0.967097 1.20988
weatherVar158 450201 float64 1860 0.004114 450201 437107 0.966920 1.18408
weatherVar157 450201 float64 1860 0.004114 450201 437204 0.967135 1.1306
weatherVar156 450201 float64 1860 0.004114 450201 443680 0.981460 0
weatherVar155 450201 float64 1860 0.004114 450201 437064 0.966825 2.69654
weatherVar154 450201 float64 1860 0.004114 450201 441270 0.976129 0.246032
weatherVar153 450201 float64 1860 0.004114 450201 436639 0.965885 1.17469
weatherVar152 450201 float64 1860 0.004114 450201 450166 0.995808 0
weatherVar123 450201 float64 1860 0.004114 450201 437178 0.967077 0.967749
weatherVar86 450201 float64 1860 0.004114 450201 438563 0.970141 0.126252
weatherVar121 450201 float64 1860 0.004114 450201 436885 0.966429 1.80419
weatherVar45 450201 float64 1860 0.004114 450201 443291 0.980600 0.81792
weatherVar32 450201 float64 1860 0.004114 450201 437175 0.967071 1.10424
weatherVar33 450201 float64 1860 0.004114 450201 436919 0.966505 0.852247
weatherVar34 450201 float64 1860 0.004114 450201 436930 0.966529 0.347657
weatherVar35 450201 float64 1860 0.004114 450201 433597 0.959156 0.811226
weatherVar36 450201 float64 1860 0.004114 450201 437272 0.967285 0.679922
weatherVar37 450201 float64 1860 0.004114 450201 436806 0.966255 0.00248082
weatherVar38 450201 float64 1860 0.004114 450201 434640 0.961463 0.169487
weatherVar39 450201 float64 1860 0.004114 450201 448907 0.993023 0
weatherVar40 450201 float64 1860 0.004114 450201 437135 0.966982 1.09083
weatherVar42 450201 float64 1860 0.004114 450201 432776 0.957340 0.253126
weatherVar44 450201 float64 1860 0.004114 450201 437166 0.967051 1.13594
weatherVar46 450201 float64 1860 0.004114 450201 449910 0.995242 0
weatherVar61 450201 float64 1860 0.004114 450201 436343 0.965230 0.0710921
weatherVar47 450201 float64 1860 0.004114 450201 436911 0.966487 1.07313
weatherVar48 450201 float64 1860 0.004114 450201 434830 0.961883 0.178608
weatherVar49 450201 float64 1860 0.004114 450201 437080 0.966861 2.21262
weatherVar50 450201 float64 1860 0.004114 450201 445537 0.985568 0
weatherVar51 450201 float64 1860 0.004114 450201 437177 0.967075 1.06136
weatherVar52 450201 float64 1860 0.004114 450201 437077 0.966854 1.13797
weatherVar53 450201 float64 1860 0.004114 450201 437134 0.966980 0.905694
weatherVar55 450201 float64 1860 0.004114 450201 436972 0.966622 0.253435
weatherVar57 450201 float64 1860 0.004114 450201 437116 0.966940 0.407403
weatherVar120 450201 float64 1860 0.004114 450201 436826 0.966299 0
weatherVar59 450201 float64 1860 0.004114 450201 442830 0.979580 0.614592
weatherVar31 450201 float64 1860 0.004114 450201 434210 0.960512 0.009624
weatherVar30 450201 float64 1860 0.004114 450201 438639 0.970309 1.00439
weatherVar29 450201 float64 1860 0.004114 450201 439408 0.972010 1.22822
weatherVar28 450201 float64 1860 0.004114 450201 436944 0.966560 0.144197
weatherVar1 450201 float64 1860 0.004114 450201 432816 0.957428 0.182784
weatherVar2 450201 float64 1860 0.004114 450201 447856 0.990698 0
weatherVar3 450201 float64 1860 0.004114 450201 437148 0.967011 1.12618
weatherVar5 450201 float64 1860 0.004114 450201 432726 0.957229 0.291717
weatherVar7 450201 float64 1860 0.004114 450201 437188 0.967100 1.10374
weatherVar8 450201 float64 1860 0.004114 450201 438917 0.970924 1.44452
weatherVar9 450201 float64 1860 0.004114 450201 446184 0.987000 0
weatherVar10 450201 float64 1860 0.004114 450201 436651 0.965912 1.01689
weatherVar11 450201 float64 1860 0.004114 450201 432843 0.957488 0.147343
weatherVar12 450201 float64 1860 0.004114 450201 437081 0.966863 1.96786
weatherVar13 450201 float64 1860 0.004114 450201 436207 0.964930 0.0223433
weatherVar14 450201 float64 1860 0.004114 450201 437221 0.967173 1.11152
weatherVar15 450201 float64 1860 0.004114 450201 437116 0.966940 1.15092
weatherVar16 450201 float64 1860 0.004114 450201 437161 0.967040 1.01194
weatherVar18 450201 float64 1860 0.004114 450201 436948 0.966569 0.282293
weatherVar20 450201 float64 1860 0.004114 450201 437257 0.967252 0.381844
weatherVar21 450201 float64 1860 0.004114 450201 436628 0.965861 0.674719
weatherVar22 450201 float64 1860 0.004114 450201 434863 0.961956 0.125078
weatherVar23 450201 float64 1860 0.004114 450201 436999 0.966681 0.148698
weatherVar24 450201 float64 1860 0.004114 450201 433081 0.958015 0.161928
weatherVar25 450201 float64 1860 0.004114 450201 436764 0.966162 0.00232253
weatherVar26 450201 float64 1860 0.004114 450201 432481 0.956687 0.503055
weatherVar27 450201 float64 1860 0.004114 450201 437024 0.966737 1.0112
weatherVar60 450201 float64 1860 0.004114 450201 436982 0.966644 0.152828
weatherVar58 450201 float64 1860 0.004114 450201 436682 0.965980 0.611287
weatherVar62 450201 float64 1860 0.004114 450201 436713 0.966049 0.00279663
weatherVar93 450201 float64 1860 0.004114 450201 437264 0.967268 0.771335
weatherVar63 450201 float64 1860 0.004114 450201 436473 0.965518 0.735235
weatherVar96 450201 float64 1860 0.004114 450201 435726 0.963865 0.75424
weatherVar97 450201 float64 1860 0.004114 450201 438298 0.969555 0.136047
weatherVar98 450201 float64 1860 0.004114 450201 437133 0.966978 0
weatherVar99 450201 float64 1860 0.004114 450201 438954 0.971006 0
weatherVar100 450201 float64 1860 0.004114 450201 437035 0.966761 1.01238
weatherVar101 450201 float64 1860 0.004114 450201 435743 0.963903 0.785233
weatherVar102 450201 float64 1860 0.004114 450201 449641 0.994647 0
weatherVar103 450201 float64 1860 0.004114 450201 449390 0.994092 0
weatherVar104 450201 float64 1860 0.004114 450201 436664 0.965940 0.00850162
weatherVar105 450201 float64 1860 0.004114 450201 437064 0.966825 1.50307
weatherVar106 450201 float64 1860 0.004114 450201 436956 0.966586 0.636448
weatherVar107 450201 float64 1860 0.004114 450201 436719 0.966062 0.468449
weatherVar108 450201 float64 1860 0.004114 450201 433627 0.959222 1.51788
weatherVar109 450201 float64 1860 0.004114 450201 437153 0.967022 0.553574
weatherVar110 450201 float64 1860 0.004114 450201 437045 0.966783 0.000595711
weatherVar111 450201 float64 1860 0.004114 450201 436611 0.965823 0
weatherVar112 450201 float64 1860 0.004114 450201 437243 0.967221 0.959892
weatherVar114 450201 float64 1860 0.004114 450201 432778 0.957344 0.0156226
weatherVar116 450201 float64 1860 0.004114 450201 437269 0.967279 0.945053
weatherVar117 450201 float64 1860 0.004114 450201 446339 0.987342 0
weatherVar118 450201 float64 1860 0.004114 450201 449133 0.993523 0
weatherVar119 450201 float64 1860 0.004114 450201 436740 0.966109 0.98645
weatherVar94 450201 float64 1860 0.004114 450201 436882 0.966423 0.789749
weatherVar95 450201 float64 1860 0.004114 450201 440881 0.975269 0
weatherVar91 450201 float64 1860 0.004114 450201 436863 0.966381 0.72342
weatherVar75 450201 float64 1860 0.004114 450201 435969 0.964403 0.153111
weatherVar64 450201 float64 1860 0.004114 450201 437021 0.966730 1.01221
weatherVar65 450201 float64 1860 0.004114 450201 436957 0.966589 0.147134
weatherVar66 450201 float64 1860 0.004114 450201 447594 0.990119 5.58698
weatherVar67 450201 float64 1860 0.004114 450201 447306 0.989482 4.6836
weatherVar68 450201 float64 1860 0.004114 450201 436352 0.965250 0.0589026
weatherVar69 450201 float64 1860 0.004114 450201 437202 0.967131 1.09378
weatherVar70 450201 float64 1860 0.004114 450201 437002 0.966688 0.949523
weatherVar71 450201 float64 1860 0.004114 450201 436690 0.965998 0.348595
weatherVar89 450201 float64 1860 0.004114 450201 437142 0.966998 0.892934
weatherVar73 450201 float64 1860 0.004114 450201 437061 0.966819 0.665584
weatherVar74 450201 float64 1860 0.004114 450201 436776 0.966188 0.00278463
weatherVar72 450201 float64 1860 0.004114 450201 433987 0.960019 0.934886
weatherVar76 450201 float64 1860 0.004114 450201 437055 0.966805 1.57925
weatherVar84 450201 float64 1860 0.004114 450201 436527 0.965637 0.16871
weatherVar88 450201 float64 1860 0.004114 450201 436966 0.966608 1.67764
weatherVar78 450201 float64 1860 0.004114 450201 432659 0.957081 0.724788
weatherVar85 450201 float64 1860 0.004114 450201 436922 0.966511 1.59227
weatherVar87 450201 float64 1860 0.004114 450201 437084 0.966870 1.5284
weatherVar83 450201 float64 1860 0.004114 450201 436638 0.965883 0.926208
weatherVar82 450201 float64 1860 0.004114 450201 449948 0.995326 0
weatherVar81 450201 float64 1860 0.004114 450201 444965 0.984303 3.87028
weatherVar80 450201 float64 1860 0.004114 450201 436950 0.966573 1.52426
var7 451205 float64 856 0.001894 451205 451197 0.998089 3
target 452061 float64 0 0.000000 452061 450873 0.997372 0
dummy 452061 object 0 0.000000 452061 452060 0.999998 A
var17 452061 float64 0 0.000000 452061 427464 0.945589 84.3373
var13 452061 float64 0 0.000000 452061 451729 0.999266 0
var11 452061 float64 0 0.000000 452061 415222 0.918509 705.907
var10 452061 float64 0 0.000000 452061 451956 0.999768 3.89895
id 452061 int64 0 0.000000 452061 1 0.000002 1

Looking at the above summary table, several corrective steps seem appropriate:

  • Drop variables that contain more than 50% null values (NAs)
  • Drop unnecessary variables that may not be used as predictors

The quality of the data set appears to be very high. The process of cleaning the data might turn out to be rather straightforward.

According to Kaggle, the variables can be grouped as follows:

  • id: A unique identifier of the data set
  • target: The transformed ratio of loss to total insured value
  • dummy: Nuisance variable used to control the model, but not working as a predictor
  • var1 – var17: A set of normalized variables representing policy characteristics (note: var11 is the weight used in the weighted gini score calculation)
  • crimeVar1 – crimeVar9: A set of normalized Crime Rate variables
  • geodemVar1 – geodemVar37: A set of normalized geodemographic variables
  • weatherVar1 – weatherVar236: A set of normalized weather station variables

Note that the data is desribed as already being normalised. Hence, in the section Feature Engineering we will not perform any variable (power) transformations.


3. Cleaning the Data

In this section, we will clean the data and prepare it for exploratory data analysis, feature engineering as well as model building. First, we define all the functions necessary for cleaning the data. The functions, however, will be executed at the end of the section feature engineering.

In [8]:
# this function imputes values based on relative frequency of the discrete values (histogram), 
# hence, it can be used for numeric and categorical variables
# the function returns and imputed data frame and an imputation_map object. This objects stores the relative
# frequencies of the missing values per column. Hence, the imputation can be loaded for imputing other data sets
# that bear the same columns. If no imputation map is given, it is freshly calculated from the dataframe at hand.
def impute_missing_values(df, imputation_map=None):
    print('Imputing missing values...')
    def impute_disc_prob(df, c, impute_probs=None):
        df = df.replace({pd.np.nan: None})
        
        if impute_probs==None:
            impute_probs = pd.DataFrame(df[c].value_counts() / df[c].notnull().sum())
            impute_probs.columns = ['p']
        
        n = df[c].isnull().sum()
        r = np.random.choice(impute_probs.index, p=impute_probs.p, size=n)
        df.loc[df[c].isnull(), c] = r
        return df.copy(), impute_probs
    
    df = df.copy()
    df = df.replace({pd.np.nan: None})
    nc = df.isnull().sum() / len(df)
    nc = (df.isnull().sum() / len(df))>0
    cols = nc[nc].index
    
    if imputation_map == None:
        imputation_map = {}
        for c in cols:
            df, impute_probs = impute_disc_prob(df, c)
            imputation_map[c] = impute_probs
    else:
        for c in cols:
            impute_probs = imputation_map.get(c)
            df, impute_probs = impute_disc_prob(df, c, impute_probs)
    
    return df.copy(), imputation_map
In [9]:
def intersection(lst1, lst2): 
    return list(set(lst1) & set(lst2)) 
In [10]:
def difference(list1, list2):
    return list(set(list1) - set(list2))
In [11]:
def split_column(df, col):
    # according to the data dictionary on Kaggle, this variable is hierarchichal and consists of two parts. 
    # Hence, we split the column in two so that they can be properly encoded.
    df = df.copy()
    df[col] = df[col].astype(str)
    df[col+'0'] = [i[:1] for i in df[col]] 
    df[col+'1'] = [i[1:] for i in df[col]]
    return df.copy()
In [12]:
def get_sorted_values(v):
    v = list(v.unique())
    v = difference(v, [np.nan])
    v.sort()
    return v
In [13]:
def convert_categoricals(df):
    # this function is used to convert variables into either nominal or ordinal variables.
    from pandas.api.types import CategoricalDtype
    df = df.copy()
    print('Converting Variables...')
    for c in intersection(ordinals, df.columns):
        categories = get_sorted_values(df[c])
        dType = CategoricalDtype(categories = categories, ordered = True)
        df[c] = df[c].astype(dType)

    for c in intersection(nominals, df.columns):
        categories = get_sorted_values(df[c])
        dType = CategoricalDtype(categories = categories, ordered = False)
        df[c] = df[c].astype(dType)
        
    return df.copy()
In [14]:
# define the columns that will be dropped from the data set
# all columns that contain more than 50% null-values will be dropped
# note that var4 will be dropped as it will be split in two separat variables
to_drop = list(info[(info['nulls pct'] > 0.5)].index)
to_drop = to_drop + ['id', 'dummy', 'var4']
In [15]:
# we categorise the different variables according the documentation on the Kaggle-website.
# note that the numeric category is derived from the inferred data type from the info-object
ordinals = ['var1', 'var2', 'var3', 'var5', 'var6']
nominals = ['dummy', 'var4', 'var7', 'var8', 'var9', 'var40', 'var41']
numerics = list(info[(info['dType'] == 'float64')].index)
In [16]:
# next, we remove all variables from the categories that we intend to drop 
# furthermore, we make sure that we do not have any nominal or ordinal variables in the 'numericals' bucket
ordinals = difference(ordinals, to_drop)
nominals = difference(nominals, to_drop)
numerics = difference(numerics, to_drop)
numerics = difference(numerics, nominals)
numerics = difference(numerics, ordinals)
numerics = difference(numerics, ['target'])
In [17]:
all_features = ordinals + nominals + numerics

After having prepared the cleansing functions for the data set, we now explore and visualize the variables to get a better understanding of their characteristics. Furthermore, this will help us to determine necessery steps in the section Feature Engineering.


4. Exploratory Data Analysis

As is the case in the previous sections, we first prepare any function that will be needed for actual exploratory analysis. Note, however, that this is not the actual way of how this notebook has eveloved. Rather, this is the result of refactoring and cleaning up the source code for better structure, readability and quality.

Furthermore, due to the sheer amount of variables, this section remains rather compact and brief and its extensive exploratory datanalysis has not been considered feasible:

  • The anonymised variables do not convey any meaning or semantic that could be interpreted.
  • The amount of variables is very large.
  • There are no time series to visialise.

Nevertheless, some visualisations have been added to illustrate what has been found most useful.

In [18]:
def draw_hist(x):
    p = sns.distplot(x, fit=stats.norm,
                 kde_kws={"label": "KDE"},
                 fit_kws={"color": "b", "alpha": .5, "label": "Normal Distribution"}
                )
    plt.legend(loc='best')
In [19]:
def draw_count_plot(c):
    plt.figure(figsize=(17,7))
    p = sns.set()
    p = sns.countplot(x=c, data=df)
    plt.xticks(rotation=45)
    plt.show()
In [20]:
def draw_box_plot(x):
    plt.figure(figsize=(17,7))
    p = sns.set()
    p = sns.boxplot(x=x, y='target', data=df)
    plt.xticks(rotation=45)
    plt.show()
In [21]:
def draw_r_matrix(x, title):
    corr = x.corr()

    mask = np.zeros_like(corr, dtype=np.bool)
    mask[np.triu_indices_from(mask)] = True

    sns.set(style="white")
    f, ax = plt.subplots(figsize=(20, 15))
    cmap = sns.diverging_palette(220, 10, as_cmap=True)

    sns.heatmap(corr, mask=mask, cmap=cmap, vmax=1, center=0, square=True, 
                linewidths=.5, cbar_kws={"shrink": .3}, annot=True, 
                annot_kws={"size": 11}
               )
    plt.title(title, fontsize=24)

The following bar chart gives us an overview of the frequencies of several categorical variables. Following the bar charts, the box plots illustrate the distribution of the target variables among the values of the categorical variables.

In [22]:
for c in intersection(ordinals + nominals,df.columns):
    draw_count_plot(c)

The boxbolots below show which variables are associated with the target variable. Note that there is little variability within the variables. For example. var7exhibits eight values which do not present a dependency of their variability with the target variable. The same is true vor var8.

In [23]:
for c in intersection(nominals,df.columns):
    draw_box_plot(c)

Lastly, we try some correlation heatmaps. As can be seen below, they turn out to be rather useful. In particular, there are a lot of weahter variables that are correlated with each other. The brighter or darker spots of the heatmap show strong positive or negative correlation respectively. However, the sheer amount of these variables renders a manual selection process rather difficult.

Also, within the the weather variables, subgroups ot weather variables can be identified that bear high similarity among each other. They can be found by looking at the brighter or darker cluster that come in squaure shapes. This may justify the use of PCA to reduce the number of dimensions effectively without excessive loss of information.

In [24]:
# here, we put the differend kinds of weather, crime and geo variables intwo their own list
weather = list(df.columns[df.columns.str.contains('weather')])
crime = list(df.columns[df.columns.str.contains('crime')])
geo = list(df.columns[df.columns.str.contains('geo')])
var = list(df.columns[df.columns.str.contains(r'^var')])
var = difference(var+ordinals+nominals, to_drop)
In [25]:
weather_r = df[weather].corr()
plt.figure(figsize = (15,15))
ax = sns.heatmap(weather_r, vmin=-1, vmax=1)

The geographical variables also seem to consist of clusters of variables that are highly positively or negatively correlated amon each other. This may support the use of PCA as a valid compression technique to reduce the number of variables.

In [26]:
geo_r = df[geo].corr()
plt.figure(figsize = (15,15))
ax = sns.heatmap(geo_r, vmin=-1, vmax=1)

Most of the crime variables turn out to be rather highly correlated among each other. The heatmap presented below shows their interrelationships.

In [27]:
crime_r = df[crime].corr()
plt.figure(figsize = (15,15))
ax = sns.heatmap(crime_r, vmin=-1, vmax=1)

Now that we have imported, cleansed and explored the data, we now apply feature engineering techniques to prepare the data for the model building stage.


5. Feature Engineering & Encoding

The following steps are being taken care of in this section:

  1. Inspect target distribution and evaluate if it needs to be transformed
    • Censoring large claims
    • Downsampling of majority events
  2. Create new features using feature compression techniques (e.g. PCA)
  3. Encode all nominal variables using one-hot-encoding.
  4. Encode ordinal feature to numeric representations

Note that cencoring large claims, downsampling of majority events and the use of PCA has been inspired by the winning team Datarobot as they outlined their approach in their presentation. However, the exact way has not been replicated in this capstone project as their source code is not publicly available.

5.1. Censoring Large Claims and Log-Transformation

The following two histograms show that the use of a log transform makes the target variable more normal. Also, the spike at the higher ends of the distribution will be taken out.

In [28]:
draw_hist(df[df['target']>0]['target'])
In [29]:
draw_hist(np.log(df[df['target']>0]['target']+1))

The following function will perform the two operations.

In [30]:
def censor_and_categorize(df):
    df = df.copy()
    upper_bound = df[df.target>0]['target'].quantile(0.80)
    df['target'] = [upper_bound if i > (upper_bound) else i for i in df.target]
    df['LogTarget'] = np.log(df['target']+1)
    df['isClaim'] = [1 if i > 0 else 0 for i in df.target]
    return df.copy()

5.2. Feature Compression: Principal Component Analysis

This function applies PCA on a set of variables. The argument features is a list of lists: [one_family_of_variables, another_family_of_variables]. feature_names' which contains the names of the family of features we try to compress to a smaller representation.

For example, if we input a list of three feature families, the three feature families will be compressed individually so that the three families will be preserved but compressed in order to obtain two principal components per family.

Later, this function compresses the weather, geo and crime variables individually to obtain two principal components for the three categories of variables.

In [31]:
def compress_features(df, features, feature_names, pca_objects=None, scaling_objects=None):
    print('Compressing features...')
    df = df.copy()
    comp_feats  = []
    
    if (pca_objects==None): 
        pca_objects = []
        scaling_objects = []
        for i, cols in enumerate(features):
            scaler = StandardScaler().fit(df[cols])
            scaling_objects.append(scaler)
            scaled = scaler.transform(df[cols])
            pca = PCA(n_components=2)
            pca.fit(scaled)
            pca_objects.append(pca)
            pca = pca.transform(scaled)
            components = pd.DataFrame(pca, 
                                      columns=['pca_' + feature_names[i] + '_0', 
                                               'pca_' + feature_names[i] + '_1'
                                              ]
                                     )
            comp_feats.append(components)
    else:
        for i, cols in enumerate(features):
            scaled = scaling_objects[i].transform(df[cols])
            pca = pca_objects[i].fit_transform(scaled)
            components = pd.DataFrame(pca, columns=['pca_' + feature_names[i] + '_0', 'pca_' + feature_names[i] + '_1'])
            comp_feats.append(components)
            
    feature_components = pd.concat(comp_feats, axis=1)
    feature_components.reset_index(drop=True, inplace=True)
    return feature_components.copy(), pca_objects, scaling_objects

5.3. Downsampling of majority events

This function takes care of resampling the dataset. More precisely, only the subset of data will be resampled that does not exhibit a target-value >0. Since most target values are zero, only these rows will be resampled downwards (downsampled) to balance out the minority class (target > 0) with the majority class (target == 0).

In [32]:
def downsample(df, maj_min_ratio=1):
    print('Resampling...')
    from sklearn.utils import resample
    df = df.copy()

    # Separate majority and minority classes
    df_maj = df[df.LogTarget == 0]
    df_min = df[df.LogTarget > 0]

    # Downsample majority class
    df_maj_ds = resample(df_maj, 
                         replace = False,                         # sample without replacement
                         n_samples=len(df_min) * maj_min_ratio,   # to match minority class
                         random_state=0)                          # reproducible results

    # Combine minority class with downsampled majority class
    df = pd.concat([df_maj_ds, df_min], axis=0, ignore_index=True)
    return df.copy()

5.4. Perform Preprocessing

Finally, we actually apply all the defined functions from above and preprocess the training, validation and test set of the project.

In [33]:
def encode_features(df):
    print('Encoding features...')
    df = df.copy()
    info = get_df_overview(df, 'nulls pct')
    for c in info[info.dType=='category'].index:
        df[c] = df[c].cat.codes
    return df.copy()
In [34]:
def preprocess(df, features, mode, imputation_probabilities=None, pca_objects=None, scaling_objects=None):

    df = df.copy()
    df = split_column(df, 'var4')
    df = df.drop(intersection(features['To Drop'] + ['target'], df.columns), axis = 1)
    df, imputation_probabilities = impute_missing_values(df)
    cf, pca_objects, scaling_objects = compress_features(df, features['PCA']['PCA Features'], features['PCA']['PCA Feature Names'], pca_objects, scaling_objects)

    # variable separation
    if (mode=='Train'):
        targets = df[['LogTarget', 'isClaim']]
        targets.reset_index(drop=True, inplace=True)
        
        variables = df[features['Normal Variables']]
        variables.reset_index(drop=True, inplace=True)
        
        cf.reset_index(drop=True, inplace=True)
        df_long_comp = pd.concat([targets, variables, cf], axis=1)
        
        # sampling
        df_short = downsample(df, 10)
        df_short_comp = downsample(df_long_comp, 10)
        
        # conversions
        df = convert_categoricals(df)
        df = encode_features(df)

        df_long_comp = convert_categoricals(df_long_comp)
        df_long_comp = encode_features(df_long_comp)

        df_short = convert_categoricals(df_short)
        df_short = encode_features(df_short)

        df_short_comp = convert_categoricals(df_short_comp)
        df_short_comp = encode_features(df_short_comp)
        
        return_dict = {
            'long_wide': df,
            'short_wide': df_short,
            'long_comp': df_long_comp,
            'short_comp': df_short_comp,
        }
        
    elif (mode=='Validation'):
        targets = df[['LogTarget', 'isClaim']]
        targets.reset_index(drop=True, inplace=True)
        
        variables = df[features['Normal Variables']]
        variables.reset_index(drop=True, inplace=True)
        
        cf.reset_index(drop=True, inplace=True)
        df_long_comp = pd.concat([targets, variables, cf], axis=1)  
        
        # conversions
        df = convert_categoricals(df)
        df = encode_features(df)

        df_long_comp = convert_categoricals(df_long_comp)
        df_long_comp = encode_features(df_long_comp)

        return_dict = {
            'long_wide': df,
            'long_comp': df_long_comp
        }    

    elif (mode=='Test'):
        variables = df[features['Normal Variables']]
        variables.reset_index(drop=True, inplace=True)
        
        cf.reset_index(drop=True, inplace=True)
        df_long_comp = pd.concat([variables, cf], axis=1)  
        
        # conversions
        df = convert_categoricals(df)
        df = encode_features(df)

        df_long_comp = convert_categoricals(df_long_comp)
        df_long_comp = encode_features(df_long_comp)

        return_dict = {
            'long_wide': df,
            'long_comp': df_long_comp
        }     
    
    return return_dict, imputation_probabilities, pca_objects, scaling_objects
In [35]:
# here, we put the differend kinds of weather, crime and geo variables intwo their own list
# subsequently, the weather, criime and geo variables are compressed individually two obtain
# two principal components for the three categories of variables each.
weather = list(df.columns[df.columns.str.contains('weather')])
crime = list(df.columns[df.columns.str.contains('crime')])
geo = list(df.columns[df.columns.str.contains('geo')])
var = list(df.columns[df.columns.str.contains(r'^var')])
var = difference(var+ordinals+nominals, to_drop)
In [36]:
features = {
    'PCA': {
        'PCA Features': [crime, geo, weather],
        'PCA Feature Names': ['crime', 'geo', 'weather']
    },
    'To Drop': to_drop,
    'Normal Variables': var,
    'Weather Variables': weather,
    'Crime Variables': crime,
    'Geographic Variables': geo
}
In [37]:
df_train = censor_and_categorize(df)
df_train, df_valid = train_test_split(df_train, test_size=0.3, stratify=df_train['isClaim'], random_state=0)
In [38]:
df_train_dict, imputation_probabilities, pca_objects, scaling_objects = preprocess(df_train, features, 'Train')
Imputing missing values...
Compressing features...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:12: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  if sys.path[0] == '':
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:12: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  if sys.path[0] == '':
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:12: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
  if sys.path[0] == '':
Resampling...
Resampling...
Converting Variables...
Encoding features...
Converting Variables...
Encoding features...
Converting Variables...
Encoding features...
Converting Variables...
Encoding features...
In [39]:
df_valid_dict, _, _, _ = preprocess(df_valid, features, 'Validation', imputation_probabilities, pca_objects, scaling_objects)
Imputing missing values...
Compressing features...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
Converting Variables...
Encoding features...
Converting Variables...
Encoding features...
In [40]:
df_test_dict, _, _, _ = preprocess(df_test, features, 'Test', imputation_probabilities, pca_objects, scaling_objects)
Imputing missing values...
Compressing features...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\ipykernel_launcher.py:25: DataConversionWarning: Data with input dtype object were all converted to float64 by StandardScaler.
Converting Variables...
Encoding features...
Converting Variables...
Encoding features...
In [41]:
joblib.dump(df_train_dict, 'Data\df_train_dict.joblib')
joblib.dump(df_valid_dict, 'Data\df_valid_dict.joblib')
joblib.dump(df_test_dict, 'Data\df_test_dict.joblib')
Out[41]:
['Data\\df_test_dict.joblib']

6. Model Evaluation Metric: Normalised Weighted Gini Coefficient

In order to compare model performance with the official Kaggle leaderboard, we calculate the normalized, weighted Gini coefficient.

According to the Kaggle website, the normalized, weighted Gini coefficient is calculated as follows:

In [42]:
def weighted_gini(act,pred,weight): 
    df = pd.DataFrame({"act":act,"pred":pred,"weight":weight}) 
    df = df.sort_values('pred',ascending=False) 
    df["random"] = (df.weight / df.weight.sum()).cumsum() 
    total_pos = (df.act * df.weight).sum() 
    df["cumposfound"] = (df.act * df.weight).cumsum() 
    df["lorentz"] = df.cumposfound / total_pos 
    n = df.shape[0] 

    gini = sum(df.lorentz[1:].values * (df.random[:-1])) - sum(df.lorentz[:-1].values * (df.random[1:])) 
    return gini
In [43]:
def normalized_weighted_gini(act,pred,weight):
    return weighted_gini(act,pred,weight) / weighted_gini(act,act,weight)

7. Model Building

In this section the predictive models are being built.

The first section oulines the process of how the predictive models are going to be built. The second section looks at how the individual lerners are trained. The third section looks at how the individual lerners are aggregated (stacked) to an ensemble of lerners. Lastly, all the individual models and their aggregations will be evaluated before the final prediction.

7.1. Model Building Process

For building the model in this project, we distinguish between the public and private data set. While we know the regression target variable in the public data set, the target is completely unknown to us in the private data set. The private data set is used for the final predction and submission after the model has been build, evaluated, tuned and selected for production.

To build the model we take the public data set and split it into a training set, a validation set and a test set.

  • Training Set: Used to train the individual learners.
  • Validation: The individual lerners make their prediction on the hold-out set and an ensemble lerner (meta lerner) will learn the weights put on every individual learner.
  • Test: is not used to learn any relationship. Rather, this will be used to assess performance of the individual and ensemble models before it (or they) is used for the final (private) predictions.

drawing

The subsection below will outline that we will use six different variations of the original training set to train the models. Due to this, a custom train_test()-function is built to separate the individual training and test splits. The function returns a dictionary to properly handle the complexity of having multiple different splits.

In [44]:
def train_test(df, regression_y, classification_y, split_ratio):
    df = df.copy()
    X = df.drop([regression_y, classification_y], axis=1)
    X = pd.get_dummies(X, columns=intersection(nominals,X.columns), prefix=intersection(nominals,X.columns))
   
    y = df[regression_y]
    X_tr, X_te, y_reg_tr, y_reg_te = train_test_split(X, y, train_size=split_ratio, random_state=0, stratify=df[classification_y])

    y = df[classification_y]
    X_clf_tr, X_clf_te, y_clf_tr, y_clf_te = train_test_split(X, y, train_size=split_ratio, random_state=0, stratify=y)
    
    return {
                'X_tr': X_tr.copy(), 
                'X_te': X_te.copy(), 
                'y_reg_tr': y_reg_tr.copy(), 
                'y_reg_te': y_reg_te.copy(), 
                'y_clf_tr': y_clf_tr.copy(), 
                'y_clf_te': y_clf_te.copy()
           }

The function below performs automatic feature selection using six voters (regressors and classifiers) that vote on the dataset and assess wheather or not a particular variable is usefull:

  • uv: is a statistical univariate test based on ANOVA. 01, 005 are the significance levels (p-values) upon which a variable is considered different from zero
  • Furthermore, several other linear classifiers with L1 penalty are used.

Finally, a feature is considered good if it receives at least four votes.

In [45]:
def select_best_features(X_tr, y_reg_tr, y_clf_tr, save_features, refresh=True):
    if refresh:
        
        features = pd.DataFrame({'Column': X_tr.columns})
        
        X_tr = X_tr.copy().values
        y_reg_tr = y_reg_tr.copy().values
        y_clf_tr = y_clf_tr.copy().values
        X_sp = sparse.coo_matrix(X_tr)
        
        selector_clf = SelectKBest(f_classif, k = 'all').fit(X_tr, y_clf_tr)

        features['uv_clf_alpha_01'] = (selector_clf.pvalues_ < 0.1)
        features['uv_clf_alpha_005'] = (selector_clf.pvalues_ < 0.05)
        features['uv_clf_alpha_001'] = (selector_clf.pvalues_ < 0.01)
        features['Randomized Lasso'] = RandomizedLasso(random_state = 0).fit(X_tr, y_reg_tr).get_support()
        features['Linear SVC'] = (LinearSVC(C=0.1, penalty = "l1", dual = False, random_state = 0, class_weight='balanced').fit(X_tr, y_clf_tr).coef_>0).reshape(-1)
        features['Logistic Regregssion'] = (LogisticRegression(C=0.01, penalty = 'l1', random_state = 0, class_weight='balanced').fit(X_tr, y_clf_tr).coef_>0).reshape(-1)
        features['Votes'] = features.sum(axis=1)
        features['Good Feature'] = features.Votes >= 4
    else:
        features = pd.read_csv(save_features)
        
    good_features = list(features[features['Good Feature']==True].Column)
    features.to_csv(save_features, index=False)
    
    return good_features, features

Now we prepare the six different datasets. The six different training sets will be explained in further detail in the next paragraph.

In [46]:
refresh = False
training_dict = {} # create a dictionary of different training sets
training_dict['long_wide'] = train_test(df_train_dict['long_wide'], 'LogTarget', 'isClaim', 0.8) 

good_features_long, features_long = select_best_features(training_dict['long_wide']['X_tr'], 
                                               training_dict['long_wide']['y_reg_tr'], 
                                               training_dict['long_wide']['y_clf_tr'],
                                               'Features\Features_long.csv', refresh
                                              )

training_dict['short_wide'] = train_test(df_train_dict['short_wide'], 'LogTarget', 'isClaim', 0.8) 
training_dict['long_comp'] = train_test(df_train_dict['long_comp'], 'LogTarget', 'isClaim', 0.8) 
training_dict['short_comp'] = train_test(df_train_dict['short_comp'], 'LogTarget', 'isClaim', 0.8)

training_dict['long_selected'] = training_dict['long_wide'].copy()
training_dict['long_selected']['X_tr'] = training_dict['long_selected']['X_tr'][good_features_long].copy()

good_features_short, features_short = select_best_features(training_dict['short_wide']['X_tr'], 
                                               training_dict['short_wide']['y_reg_tr'], 
                                               training_dict['short_wide']['y_clf_tr'],
                                               'Features\Features_short.csv', refresh
                                              )

training_dict['short_selected'] = training_dict['short_wide'].copy()
training_dict['short_selected']['X_tr'] = training_dict['short_selected']['X_tr'][good_features_short].copy()
In [47]:
joblib.dump(training_dict, 'Data\\training_data.joblib')
Out[47]:
['Data\\training_data.joblib']

7.2. Regression & Classification Ensemble

After having outlined the process of how we are going to build our ensemble. The figure below illustrates the ensemble building strategy.

First, we will train several regression and classification algorithms on the data set. Every single algorithm is trained with different versions of the training dataset:

  • Original Dataset: Original training set that has been cleansed and one-hot encoded (data set long_wide)
  • Compressed Dataset: Original dataset where the geo, weather and crime variables have been compressed using PCA (data set long_comp)
  • Resampled Dataset: Downsampled versions where the majority events are downsampled to a majority-to-minority ratio of 10 (data set short_wide).
  • Resampled & Compressed: Downsampled data set that has been compressed using PCA for the geo, weather and crime variables (data set short_comp).
  • Selected Features: Original dataset, but features are reduced using automatic feature selection (function select_best_features() (data set long_selected).
  • Selected & Resampled: Downsampled dataset dataset that has been reduced in width as well using automatic feature selection (data set short_selected).

In the following figure, the matrices below the regression and classification algorithms indicate in green if the dataset is used to train this particular model. Grey means that the algorithm is not trained on this specific data set. For classification, note that we only use the long (not resampled) versions of the training data as we will only use classifiers that implement a class_weight-parameter. The class_weight parameter puts inversely proportional weights on the errors of the majority and minitory class to balance out the classification accuracy. Therefore, we will only use Logistic Regression, Extra Trees, Random Forest and Linear SVC.

It should be pointed out that every learner is trained using 5-Fold Cross validation and Grid Search.

Once the individual learners have been trained, all the learners will make predictions on the validation (hold-out) set. After having made all predictions (46 predictions in total), we will fit a all these 46 regression and classification outputs to a new meta learner. This meta learner will assign a coefficient to each individual prediction made by the individual learners. These coefficients (or weights) are illustrated by the brightness of the orange tiles. Good individual learners will become a higher weight (darker), while weak learners will be a assigned a lower weight (and, hence, will be brighter).

drawing

In [48]:
class Model:
    # this custom class implements a function 'fit' that fits a model to a list of data sets that is specified using the
    # parameter 'datasets'. Also, the constructor receives the regression or classification 'model' to fit the data to, 
    # a grid search dictionary, and some descriptive attributes such as model_type, model_name.  
    # the parameters 'cv' and 'verbose' are passed to GridSearchCV().
    # The fitted models are stored in the dictionary 'fits' that contains the fitted models per dataset within 
    # a `Model`-object.
    def __init__(self, model_type, model_name, model, grid, datasets, cv, verbose):
        self.model_type = model_type
        self.model_name = model_name
        self.model = model
        self.grid = grid
        self.datasets = datasets
        self.cv = cv
        self.verbose = verbose
        self.fits = {}
        
    def fit(self):
        for ds_key, dataset in self.datasets.items():
            pipe = Pipeline([
                ('scaler', StandardScaler()),
                ('model', self.model)
            ])

            gs = GridSearchCV(pipe, self.grid, cv=self.cv, verbose=self.verbose)
            X = dataset['X_tr']
            
            if self.model_type=='Regression':
                y = dataset['y_reg_tr']
            else:
                y = dataset['y_clf_tr']

            print('Fitting', self.model_name, 'on data set', ds_key, 'with shape', X.shape, '...')
            self.fits[ds_key] = gs
            self.fits[ds_key].fit(X, y)
In [49]:
# in this cell, we prepare the arguments for instanciating objects of the class 'Model'. 
# first, we prepare a list of different data sets for the objects of the class 'Model'.
# Then, we define the grid search dictionaries.

all_sets = ['long_wide', 'short_wide', 'long_comp', 'short_comp', 'long_selected', 'short_selected']
small_sets = ['long_comp', 'short_comp', 'long_selected', 'short_selected']
long_sets = ['long_wide', 'long_comp', 'long_selected']

all_data = {key:training_dict[key] for key in all_sets}
small_data = {key:training_dict[key] for key in small_sets}
long_data = {key:training_dict[key] for key in long_sets}

# grid search dictionaries
ols_grid = {'model__fit_intercept': [True]}
lr_grid = {'model__alpha': np.logspace(-6,6,10)}
svr_grid = {'model__C': [1,2,4]}

rf_grid = {
    'model__n_estimators': [500],
    'model__max_depth': [5],
    'model__min_samples_leaf': [5]
}

gbr_grid = {
    'model__learning_rate': [0.001],
    'model__n_estimators': [500],
    'model__max_depth': [5],
    'model__min_samples_leaf': [5]
}

xgbr_grid = {
    'model__min_child_weight': [0.9], 
    'model__gamma': [0.4],  
    'model__subsample': [1.0],
    'model__colsample_bytree': [0.9], 
    'model__max_depth': [4]
}

log_reg_grid = {
    'model__penalty': ['l1'], 
    'model__max_iter': [1000], 
    'model__class_weight': ['balanced']
}

xt_grid = {
    'model__n_estimators': [300], 
    'model__class_weight': ['balanced']
}

rf_clf_grid = {
    'model__n_estimators': [300], 
    'model__class_weight': ['balanced']
}

svc_grid = {
    'model__class_weight': ['balanced']
}
In [50]:
# Now, we define a dictionary 'ensemble' which we use to instaciate our objects of the class 'Model'
# and we pass the constructor arguments for proper initialisation.

ensemble = {
    'LinearRegression': Model('Regression', 'LinearRegression', LinearRegression(), ols_grid, all_data, 5, 0),
    'Lasso': Model('Regression', 'Lasso', Lasso(random_state=0), lr_grid, all_data, 5, 0),
    'Ridge': Model('Regression', 'Ridge', Ridge(random_state=0), lr_grid, all_data, 5, 0),
    'RandomForestRegression': Model('Regression', 'RandomForestRegression', RandomForestRegressor(random_state=0), rf_grid, small_data, 5, 0),
    'GradientBoostingRegression': Model('Regression', 'GradientBoostingRegression', GradientBoostingRegressor(random_state=0), gbr_grid, small_data, 5, 0),
    'XGBoostRegression': Model('Regression', 'XGBRegression', XGBRegressor(random_state=0), xgbr_grid, small_data, 5, 0),
    'LinearSVR': Model('Regression', 'LinearSVR', LinearSVR(random_state=0), svr_grid, small_data, 5, 0),
    
    'LogisticRegression': Model('Classification', 'LogisticRegression', LogisticRegression(random_state=0), log_reg_grid, long_data, 5, 0),
    'ExtraTreesClassifier': Model('Classification', 'ExtraTreesClassifier', ExtraTreesClassifier(random_state=0), xt_grid, long_data, 5, 0),
    'RandomForestClassifier': Model('Classification', 'RandomForestClassifier', RandomForestClassifier(random_state=0), rf_clf_grid, long_data, 5, 0),
    'SVC': Model('Classification', 'LinearSVC', LinearSVC(random_state=0), svc_grid, long_data, 5, 0)
}
In [51]:
# Now that our models have been instanciated, we call the method 'fit()' on every object of the class 'Model'
# in the 'ensemble' dictionary.
# after every iteration, we delete the datasets in the 'Model'-objects
# to spare storage space and save the model to a file.
for key, model in ensemble.items():
    model.fit()
    model.datasets = None
    joblib.dump(model, 'Models\\' + str(model.model_type) + '_' + str(model.model_name) + '.joblib')
Fitting LinearRegression on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set short_wide with shape (7321, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\model_selection\_search.py:841: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.
  DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set short_wide with shape (7321, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set short_wide with shape (7321, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\model_selection\_search.py:841: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.
  DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestRegression on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestRegression on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestRegression on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestRegression on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting GradientBoostingRegression on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting GradientBoostingRegression on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting GradientBoostingRegression on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting GradientBoostingRegression on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting XGBRegression on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting XGBRegression on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting XGBRegression on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting XGBRegression on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearSVR on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearSVR on data set short_comp with shape (7321, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
Fitting LinearSVR on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearSVR on data set short_selected with shape (7321, 30) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
Fitting LogisticRegression on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LogisticRegression on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LogisticRegression on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting ExtraTreesClassifier on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting ExtraTreesClassifier on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting ExtraTreesClassifier on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestClassifier on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestClassifier on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting RandomForestClassifier on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearSVC on data set long_wide with shape (253153, 331) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
Fitting LinearSVC on data set long_comp with shape (253153, 55) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
Fitting LinearSVC on data set long_selected with shape (253153, 66) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
In [52]:
# code to recover models, if needed
# ensemble = {
#     'LinearRegression': joblib.load('Models\\Regression_LinearRegression.joblib'),
#     'Lasso': joblib.load('Models\\Regression_Lasso.joblib'),
#     'Ridge': joblib.load('Models\\Regression_Ridge.joblib'),
#     'RandomForestRegression': joblib.load('Models\\Regression_RandomForestRegression.joblib'),
#     'GradientBoostingRegression': joblib.load('Models\\Regression_GradientBoostingRegression.joblib'),
#     'XGBoostRegression': joblib.load('Models\\Regression_XGBRegression.joblib'),
#     'LinearSVR': joblib.load('Models\\Regression_LinearSVR.joblib'),
    
#     'LogisticRegression': joblib.load('Models\\Classification_LogisticRegression.joblib'),
#     'ExtraTreesClassifier': joblib.load('Models\\Classification_ExtraTreesClassifier.joblib'),
#     'RandomForestClassifier': joblib.load('Models\\Classification_RandomForestClassifier.joblib'),
#     'SVC': joblib.load('Models\\Classification_LinearSVC.joblib')
# }

# training_dict = joblib.load('Data\\training_data.joblib')
# df_valid_dict = joblib.load('Data\\df_valid_dict.joblib')

7.3. Ensembling: Ensemble Stacking & Blending

After having trained all models successfully, we now make predictions on the validation (hold-out) dataset using all fitted models in all variations. By doing that, we obtain 56 different predictions per observations. Note that for the classification models, we compute both the classification probability as well as the classification itself.

The following figure shows in orange the hold-out set with its features (301 features in the long and wide version and less in the compressed and reduced versions). To the right of the hold-out set, we see the predictions made row by row for every model. Every column to the right of the hold-out set is a different prediction from a different algorithm.

drawing

In [53]:
def predict(df_long_wide, df_long_comp, ensemble):
    # this function receives a wide and a compressed version of a test or validation dataset along with a dictionary of 
    # individually trained models.
    # the function returns a dataframe with a column per model giving their prediction (classification and regression).
    
    df_long_wide = df_long_wide.copy()
    df_long_comp = df_long_comp.copy()
    df_ensemble = pd.DataFrame()
    
    for key, model in ensemble.items():
        for dataset, fit in model.fits.items():

            if 'comp' in dataset:
                X = df_long_comp
            else:
                X = df_long_wide

            #X = pd.get_dummies(X, columns=intersection(nominals,X.columns), prefix=intersection(nominals,X.columns))
            X = X.reindex(columns = training_dict[dataset]['X_tr'].columns, fill_value=0)

            # predict and prepare df_ensemble for final regression
            col = model.model_name + '_' + dataset

            if model.model_type=='Regression':
                df_ensemble[col + '_reg'] = fit.predict(X)
                #df_ensemble[np.abs(df_ensemble[col + '_reg']) < 0.00002] = 0
            else:
                df_ensemble[col + '_clf'] = fit.predict(X)
                try:
                    df_ensemble[col + '_prob'] = fit.predict_proba(X)[:,1]
                except:
                    pass # --> ignore predictors that do not implement the predict_proba()-method.
                
    reg_cols = [col for col in df_ensemble.columns if '_reg' in col]
    prob_cols = [col for col in df_ensemble.columns if '_prob' in col]
    clf_cols = [col for col in df_ensemble.columns if '_clf' in col]
    
    # besides now compute the mean across all regressors, the mean probability and mean classification
    # for all classifiers. Then we take the mean regressor value and weight it by the mean probability prediction.
    # lastly, we weight the regression mean by the majority vote, which is either zero or one
    # this way, we get three different kind of ensemble predictions
    df_ensemble['Regressor Mean'] = df_ensemble[reg_cols].mean(axis=1)
    df_ensemble['Probability Mean'] = df_ensemble[prob_cols].mean(axis=1)  
    df_ensemble['Majority Vote'] = round(df_ensemble[clf_cols].mean(axis=1),0)
    df_ensemble['Mean Probability Weighted Regression Mean'] = df_ensemble['Regressor Mean'] * df_ensemble['Probability Mean']
    df_ensemble['Majority Vote Weighted Regression Mean'] = df_ensemble['Regressor Mean'] * df_ensemble['Majority Vote']

    return df_ensemble.copy()
In [54]:
# df_valid_dict['long_comp']['LogTarget'] = df_valid_dict['long_wide'].reset_index()['LogTarget'].copy()
# df_valid_dict['long_comp']['isClaim'] = df_valid_dict['long_wide'].reset_index()['isClaim'].astype(int).copy()
In [55]:
# we split the validation data set into a training and testing set in order to properly validate our results.
df_valid_long_wide = train_test(df_valid_dict['long_wide'], 'LogTarget', 'isClaim', 0.8)
df_valid_long_comp = train_test(df_valid_dict['long_comp'], 'LogTarget', 'isClaim', 0.8)

print('Hold-out Training Size', df_valid_long_wide['X_tr'].shape)
print('Hold-out Validation Size', df_valid_long_wide['X_te'].shape)
Hold-out Training Size (108495, 331)
Hold-out Validation Size (27124, 331)
In [56]:
y_train = pd.DataFrame({'isClaim': df_valid_long_wide['y_reg_tr'], 'LogTarget': df_valid_long_wide['y_clf_tr']})     
ensemble_predictions = predict(df_valid_long_wide['X_tr'], df_valid_long_comp['X_tr'], ensemble)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
In [57]:
df_ensemble_train = pd.concat([ensemble_predictions.reset_index(), y_train.reset_index()], axis=1).drop('index', axis=1)
In [58]:
df_ensemble_train.head()
Out[58]:
LinearRegression_long_wide_reg LinearRegression_short_wide_reg LinearRegression_long_comp_reg LinearRegression_short_comp_reg LinearRegression_long_selected_reg LinearRegression_short_selected_reg Lasso_long_wide_reg Lasso_short_wide_reg Lasso_long_comp_reg Lasso_short_comp_reg Lasso_long_selected_reg Lasso_short_selected_reg Ridge_long_wide_reg Ridge_short_wide_reg Ridge_long_comp_reg Ridge_short_comp_reg Ridge_long_selected_reg Ridge_short_selected_reg RandomForestRegression_long_comp_reg RandomForestRegression_short_comp_reg RandomForestRegression_long_selected_reg RandomForestRegression_short_selected_reg GradientBoostingRegression_long_comp_reg GradientBoostingRegression_short_comp_reg GradientBoostingRegression_long_selected_reg GradientBoostingRegression_short_selected_reg XGBRegression_long_comp_reg XGBRegression_short_comp_reg XGBRegression_long_selected_reg XGBRegression_short_selected_reg LinearSVR_long_comp_reg LinearSVR_short_comp_reg LinearSVR_long_selected_reg LinearSVR_short_selected_reg LogisticRegression_long_wide_clf LogisticRegression_long_wide_prob LogisticRegression_long_comp_clf LogisticRegression_long_comp_prob LogisticRegression_long_selected_clf LogisticRegression_long_selected_prob ExtraTreesClassifier_long_wide_clf ExtraTreesClassifier_long_wide_prob ExtraTreesClassifier_long_comp_clf ExtraTreesClassifier_long_comp_prob ExtraTreesClassifier_long_selected_clf ExtraTreesClassifier_long_selected_prob RandomForestClassifier_long_wide_clf RandomForestClassifier_long_wide_prob RandomForestClassifier_long_comp_clf RandomForestClassifier_long_comp_prob RandomForestClassifier_long_selected_clf RandomForestClassifier_long_selected_prob LinearSVC_long_wide_clf LinearSVC_long_comp_clf LinearSVC_long_selected_clf Regressor Mean Probability Mean Majority Vote Mean Probability Weighted Regression Mean Majority Vote Weighted Regression Mean LogTarget isClaim
0 0.000768 0.017345 0.000454 0.015511 0.000603 0.030339 0.001679 0.044245 0.000593 0.018158 0.000696 0.026978 0.001041 0.020487 0.000626 0.021655 0.000939 0.034857 0.000840 0.027703 0.001041 0.039390 0.001797 0.061505 0.001845 0.061607 0.001284 0.012597 0.001425 0.057300 9.828482e-12 -0.000831 -0.000004 0.005784 0 0.146780 0 0.134564 0 0.183567 0 0.000000 0 0.0 0 0.0 0 0.0 0 0.000000 0 0.000000 0 0 0 0.015008 0.051657 0.0 0.000775 0.0 0 0
1 0.004801 0.154033 0.004102 0.131692 0.004929 0.162782 0.003257 0.130926 0.004134 0.132942 0.004467 0.159577 0.004837 0.133897 0.003947 0.122592 0.004156 0.137183 0.003103 0.157558 0.003485 0.141384 0.002758 0.160537 0.002917 0.109189 0.003050 0.254423 0.003250 0.213258 -1.915372e-11 -0.000229 0.000001 -0.000233 1 0.560558 1 0.526242 1 0.572146 0 0.003333 0 0.0 0 0.0 0 0.0 0 0.003333 0 0.013333 0 0 0 0.069374 0.186550 0.0 0.012942 0.0 0 0
2 0.002108 0.063656 0.000311 0.015023 0.000201 0.001374 0.001765 0.044047 0.000273 0.015067 0.000435 0.006519 0.001346 0.055392 0.000443 0.021107 0.000573 0.018712 0.001013 0.032137 0.001092 0.031556 0.001865 0.062193 0.001932 0.062164 0.001292 0.070604 0.001220 0.031517 -6.996481e-12 -0.000451 0.000007 -0.011092 0 0.203778 0 0.171000 0 0.150766 0 0.000000 0 0.0 0 0.0 0 0.0 0 0.006667 0 0.000000 0 0 0 0.015747 0.059135 0.0 0.000931 0.0 0 0
3 -0.000791 -0.042553 0.000209 -0.005515 0.000771 0.015950 0.001854 0.052359 0.000675 0.002497 0.001020 0.022473 0.000638 0.032528 0.001112 0.036017 0.001446 0.042219 0.000985 0.036830 0.001119 0.038634 0.001855 0.061530 0.001932 0.061607 0.001284 0.035784 0.001508 0.081373 4.336611e-12 -0.000965 0.000005 -0.002550 0 0.093466 0 0.202043 0 0.159150 0 0.000000 0 0.0 0 0.0 0 0.0 0 0.000000 0 0.000000 0 0 0 0.014231 0.050518 0.0 0.000719 0.0 0 0
4 0.004938 0.112575 0.003360 0.095742 0.004042 0.127885 0.002436 0.081264 0.003252 0.094652 0.003783 0.122422 0.004457 0.116454 0.003120 0.090484 0.003576 0.112784 0.003845 0.089389 0.003098 0.089343 0.003173 0.086034 0.002784 0.082657 0.003282 0.100879 0.003164 0.073896 -1.334434e-11 0.001273 0.000004 0.011612 1 0.704560 1 0.566494 1 0.652269 0 0.000000 0 0.0 0 0.0 0 0.0 0 0.006667 0 0.000000 0 0 0 0.045343 0.214443 0.0 0.009723 0.0 0 0

The above dataframe df_ensemble holds predictions that were made on the validation set. In the next section, these individual prediction will be used to build a meta regressor that use the individual regressor predictions as its features.

7.4. Ensembling: Training a Meta Learner

In this section we train several meta learners. The meta learner is a regression that uses the individual predictions of the target variable as a feature. The idea behind the meta learner is to capture the influence of each of these meta learners and adjust their prediction to more generaly fit the model.

drawing

We also perform an automatic feature selection for an automatic evaluation of which learners may be particularly useful. The same function is used as above where we created the data set long_selected and short_selected.

In [59]:
good_predictors, predictors = select_best_features(df_ensemble_train.drop(['LogTarget', 'isClaim'], axis=1), 
                                               df_ensemble_train.LogTarget, 
                                               df_ensemble_train.isClaim.astype(int),
                                               'Models\\Predictors.csv', True
                                              )
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\feature_selection\univariate_selection.py:114: UserWarning: Features [48 53 54] are constant.
  UserWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:58: DeprecationWarning: Class Memory is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:58: DeprecationWarning: Class Parallel is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\utils\deprecation.py:77: DeprecationWarning: Function delayed is deprecated; deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.
  warnings.warn(msg, category=DeprecationWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\svm\base.py:931: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  "the number of iterations.", ConvergenceWarning)
In [60]:
# since we use the same interface as above to train the new meta learners, we have to put our newly built meta training sets
# into a dictionary so that the objects of the class `Model` can read them.
# first, we put a set of all individual lerners. The second training set is a subset consisting only of good predictors
# as evaluated by the automatic (meta) features selector function select_best_features().
meta_train_dict= {}
temp = {}
temp['X_tr'] = df_ensemble_train.drop(['LogTarget', 'isClaim'], axis=1)
temp['y_reg_tr'] = df_ensemble_train.LogTarget
meta_train_dict['ensemble'] = temp

temp = {}
temp['X_tr'] = df_ensemble_train[good_predictors]
temp['y_reg_tr'] = df_ensemble_train.LogTarget
meta_train_dict['selected_ensemble'] = temp

# prepare grid as expected for the model constructor
lr_grid = {'model__alpha': np.logspace(-6,6,10)}

en_grid = {'model__max_iter': [1, 5, 10],
              'model__alpha': np.logspace(-6,6,10),
              'model__l1_ratio': np.arange(0.0, 1.0, 0.1)
          }

# define the set of meta predictors we would like to evaluate
meta_predictors = {
    'LinearRegression': Model('Regression', 'LinearRegression', LinearRegression(), ols_grid, meta_train_dict, 5, 0),
    'Lasso': Model('Regression', 'Lasso', Lasso(random_state=0), lr_grid, meta_train_dict, 5, 0),
    'Ridge': Model('Regression', 'Ridge', Ridge(random_state=0), lr_grid, meta_train_dict, 5, 0),
    'ElasticNet': Model('Regression', 'ElasticNet', ElasticNet(random_state=0), en_grid, meta_train_dict, 5, 0)
}
In [61]:
# train the meta predictors
for key, model in meta_predictors.items():
    model.fit()
    model.datasets = None
    joblib.dump(model, 'Models\\' + 'MetaPredictor_' + str(model.model_name) + '.joblib')
Fitting LinearRegression on data set ensemble with shape (108495, 60) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting LinearRegression on data set selected_ensemble with shape (108495, 33) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set ensemble with shape (108495, 60) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Lasso on data set selected_ensemble with shape (108495, 33) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set ensemble with shape (108495, 60) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting Ridge on data set selected_ensemble with shape (108495, 33) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
Fitting ElasticNet on data set ensemble with shape (108495, 60) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
Fitting ElasticNet on data set selected_ensemble with shape (108495, 33) ...
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:511: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\preprocessing\data.py:625: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\base.py:465: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, y, **fit_params).transform(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\linear_model\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)

7.4. Ensembling: Validating the Meta Learner

Having trained all the individual models, the (weighted) average ensemble predictors as well as our meta learners, this subsection presents the performance of all models how they perform on the held-out test set, which has never been used before.

In [62]:
# this function receives a dataframe with all prediction variations as its columns plus the true target value for evaluation
# since we need to compare our model based on the normalized weighted gini coefficient, the weight used for comparison is 
# var11.

# the function returns a dataframe showing 
    # the normalized weighted gini coefficient 
    # model type (individual regressor or classifier or ensemble)
    # weight (weight is calculated based on the normalized weighted gini coefficient)
        # per model type (Regressor, Classifier, Ensemble), all weights sum up to 1. The weights are used to build a 
        # version of an ensemble, which will be the gini weighted regression ensemble, where we take 
        # the weighted average of all predictions and multiply
        # this value by the gini weighted probability of being a loss from all classification probabilities.
def get_scores(df, weights):
    df = df.copy()
    weights = weights.copy()
    winners = []
    cols = []

    for col in list(df.columns):
        gini = normalized_weighted_gini(
            np.exp(np.float64(df.LogTarget))-1, 
            np.exp(np.float64(df[col]))-1, 
            weights
        )

        cols.append(col)
        winners.append(gini)

    df_win = pd.DataFrame({'gini': winners}, index=cols).drop(['LogTarget', 'isClaim'])
    df_win = df_win.sort_values('gini', ascending=False)
    
    df_win['model type'] = ['Regressor' if ('_reg' in i) else 'Classifier' if ('_prob' in i) else 'Ensemble' for i in df_win.index]
    df_win['weight'] = df_win.groupby('model type').gini.apply(normalizer)
    df_win = df_win.rename(index=str, columns={'index': 'column'})
    
    return df_win.copy()
In [63]:
def normalizer(x):
    # this function is used to convert the normalised weighted gini scores into weights that sum to one
    norm = 1 / sum(x)
    return x * norm
In [64]:
def gini_weighted_ensemble(df, df_scores):
    # this function weights the individual predictions as obtained from the individual learners and weights these
    # predictions by the gini score obtained by the model.
    # the weightings are done separately for regression and classification models
    # finally, the gini-weighted regression prediction is weighted by the gini-weighted classification probability
    
    df = df.copy()
    df_scores = df_scores.copy()
    reg_cols = [col for col in df.columns if '_reg' in col]
    prob_cols = [col for col in df.columns if '_prob' in col]

    regressors = df[reg_cols].reindex(sorted(df[reg_cols].columns), axis=1)
    regressor_weights = df_scores[df_scores['model type']=='Regressor'].sort_index(axis=1).T.loc['weight']
    #regressor_weights[regressor_weights < 0] = 0
    weighted_avg_regressor = (regressor_weights.values * regressors.values).sum(axis=1)

    classifiers = df[prob_cols].reindex(sorted(df[prob_cols].columns), axis=1)
    classifier_weights = df_scores[df_scores['model type']=='Classifier'].sort_index(axis=1).T.loc['weight']
    #classifier_weights[classifier_weights < 0] = 0
    weighted_avg_classifier = (classifier_weights.values * classifiers.values).sum(axis=1)
    
    return (weighted_avg_regressor * weighted_avg_classifier).copy()
In [65]:
# first, we perform the individual predictions from the individual learners
valid_predictions = predict(df_valid_long_wide['X_te'], df_valid_long_comp['X_te'], ensemble)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype uint8, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
In [66]:
y_valid = pd.DataFrame({'isClaim': df_valid_long_wide['y_reg_te'], 'LogTarget': df_valid_long_wide['y_clf_te']}) 
df_ensemble_valid = pd.concat([valid_predictions.reset_index(), y_valid.reset_index()], axis=1).drop('index', axis=1)
In [67]:
# now, we add the meta learners, which add their predictions to the data frame
X_meta = df_ensemble_valid.drop(['LogTarget', 'isClaim'], axis=1)
y_meta = df_ensemble_valid.LogTarget

for key, model in meta_predictors.items():
    for dataset, fit in model.fits.items():
        X_meta = X_meta.reindex(columns = meta_train_dict[dataset]['X_tr'].columns, fill_value=0)
        if dataset=='selected_ensemble':
            df_ensemble_valid['MetaRegressor' + '_selected_' + model.model_name] = fit.predict(X_meta)
        else:
            df_ensemble_valid['MetaRegressor' + '_' + model.model_name] = fit.predict(X_meta)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
In [68]:
# lets compare the scores
df_scores = get_scores(df_ensemble_valid, df_valid_long_wide['X_te'].var11)
df_scores.plot.bar(y='gini', figsize=(20,10), title='Model Ranking by Normalised Weighted Gini Score')
Out[68]:
<matplotlib.axes._subplots.AxesSubplot at 0x2495d741518>
In [69]:
# now we add the gini weighted regression ensemble
df_ensemble_valid['Gini Weighted Regression Ensemble'] = gini_weighted_ensemble(df_ensemble_valid, df_scores)
df_scores = get_scores(df_ensemble_valid, df_valid_long_wide['X_te'].var11)
df_scores.plot.bar(y='gini', figsize=(20,10), title='Model Ranking by Normalised Weighted Gini Score')
Out[69]:
<matplotlib.axes._subplots.AxesSubplot at 0x2476a3dfa90>
In [70]:
# lastly, we compute the gini weighted regression ensemble but only based on the meta features that have been 
# automatically identified and selected as being 'good'.
df_ensemble_valid['Gini Weighted Regression Ensemble (Selected)'] = gini_weighted_ensemble(df_ensemble_valid[good_predictors], df_scores.loc[good_predictors])
df_scores = get_scores(df_ensemble_valid, df_valid_long_wide['X_te'].var11)
df_scores.plot.bar(y='gini', figsize=(20,10), title='Model Ranking by Normalised Weighted Gini Score')
Out[70]:
<matplotlib.axes._subplots.AxesSubplot at 0x248f59f6668>
In [78]:
df_scores.head(10)
Out[78]:
gini model type weight
Gini Weighted Regression Ensemble 0.472582 Ensemble 0.073910
Gini Weighted Regression Ensemble (Selected) 0.469600 Ensemble 0.073444
Mean Probability Weighted Regression Mean 0.466181 Ensemble 0.072909
MetaRegressor_Ridge 0.465821 Ensemble 0.072853
Lasso_short_selected_reg 0.465178 Regressor 0.037515
MetaRegressor_selected_ElasticNet 0.465070 Ensemble 0.072735
Lasso_short_comp_reg 0.463569 Regressor 0.037385
Ridge_short_comp_reg 0.462702 Regressor 0.037315
Ridge_short_selected_reg 0.462514 Regressor 0.037300
LinearRegression_short_comp_reg 0.461805 Regressor 0.037243

The data frame df_scores shows that the top 5 models performed all better than the best teams on the public leaderboard on Kaggle.

drawing

In [72]:
# we simply select the best model based on its rank in the dataframe.
winner = df_scores.index[0]
print('Winner:', df_scores.index[0])
Winner: Gini Weighted Regression Ensemble

8. Final Predictions & Submission

Here, we submit the final predictions.

In [73]:
final_predictions = predict(df_test_dict['long_wide'], df_test_dict['long_comp'], ensemble)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:381: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, object were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
In [74]:
X = final_predictions

for key, model in meta_predictors.items():
    for dataset, fit in model.fits.items():
        X = X.reindex(columns = meta_train_dict[dataset]['X_tr'].columns, fill_value=0)
        if dataset=='selected_ensemble':
            final_predictions['MetaRegressor' + '_selected_' + model.model_name] = fit.predict(X)
        else:
            final_predictions['MetaRegressor' + '_' + model.model_name] = fit.predict(X)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype float32, int64, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
C:\Users\alexd\Anaconda3.6\envs\exts-aml2\lib\site-packages\sklearn\pipeline.py:331: DataConversionWarning: Data with input dtype int64, float32, float64 were all converted to float64 by StandardScaler.
  Xt = transform.transform(Xt)
In [75]:
final_predictions['Gini Weighted Regression Ensemble'] = gini_weighted_ensemble(final_predictions, df_scores)
final_pred = final_predictions[winner]
In [76]:
df_submission = pd.DataFrame()
df_submission['id'] = df_test.id
df_submission['target'] = np.exp(np.float64(final_pred))-1
In [77]:
df_submission.to_csv('Data\\df_submission.csv')

9. Conclusion & Discussion

The following two secions conclude the capstone project and summarise the major findings.

9.1 Conclusion

Having gone through the entire process of preparing, cleansing, exploring, feature engineering, model building and, finally, evaluating and computing the final predictions, several observations have been made.

While we went through building a very large and complex ensemble of predictors for regression and classification, the model that ultimately was chosen as the "winning" model, was indeed the evaluation score (gini) weighted regression ensemble. However, note that the top 10 also included less complex models that used reduced data sets either by means of automatic feature selection, automatic feature compression (using PCA) or a resampled (downsampled) data set.

Following the objectives of this project, several observations have been made:

Automated feature engineering: PCA was used on three groups of features. However, there may be numerous ways how feature engineering could be automated. Models that used feature compression were fairly prominent in the top 5 in df_scores.

Automated variable selection: The function select_best_features()implements automatic feature selection based on a majority vote of different regressors and classifiers. This function appears to have been very useful and effective in the model building process as the second best model builds upon this function, which reached second place using simple linear regression.

Automated model selection: Model selection has been automated as well. Automatic model selection has been facilitated by the custom written class Model which allows for efficient and simple initialisation and training of multiple models that can be stored in a list or dictionary. Subsequently, the models can be looped through and evaluated based on the metric at hand. In this case, we used the normalized_weighted_gini()-function to evaluate model performance.

Automated ensemble building: Not only have we constructed one ensemble, we have constructed several variants of ensembles:

  • Simple mean of all regressors
  • Mean probability weighted mean of all regressors
  • Gini weighted mean probability weighted regressors (winner)
  • Majority vote weighted mean regression

Having said all that, it remains open for further disussion which model finally should be used in a productive environment. Most probably, this depends on non functional requirements such as performance (speed of prediction), explainability or maintainability. The gini weighted mean regression ensemble may have serval advantages and disadvantages.

Advantages

  • Accuracy
  • Reduced bias through averaging of multiple predictors and probabilistic features
  • Robustness through the inclusion of a high number of independend predictors

Disadvantages

  • Complex model building process
  • Long training time
  • Smaller training set due to the creation of a hold-out set that needs to be split into validation and test set.

9.2 Discussion

During the process of this capstone project, several learnings have happened. Hence, for a more comprehensive and extensive approach of solving the problem presented in this capstone project, the following steps may be necessary:

Parallel Computing Functions

The custom-built class Model should implement multithreaded execution of its functions as this would speed up the training process significantly.

Exhaustive Grid Search

Although the grid search has been implemented in order to find optimal model hyperparameters, the chosen parameter space was deliberately limited (to a lenght of one) in order for the models to be trained in an acceptable amount of time.

Automated feature engineering: Automated feature engineering could be extended the following ways:

  • An engine that automatically calculates products, ratios, reciprocals, polynomials on combinations of variables
  • Automatically computes a number of principal components to be used based on an explained variance threshold.

Variable Transformations

Using automatic power transformations (box-cox or yeo-johnson) of the variables might impose more symmentry and normality to the variables, which would improve learning as well. However, during the course of the project, this was not looked at. For a productive setup, however, this should be looked at more carefully.

K-Fold Cross Validation for Ensembles

The python library mlxtend implements the use of meta regressors that can use the regular sklearn API and built-in features such as grid search and cross validation. In a productive environment, a library of this sort may be beneficial. Using standard libraries icreases efficiency, maintainability as well parsimony of source code.

Extensive Feature Engineering and Subject Matter Knowledge

If the semantics of the provided features had been known to the data scientist or machine learning engineer, manual feature engineering may be a very valuable source of extra performance and accuracy of the model.


10. References